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Context-Aware for Service Composition Optimization in Cloud Computing

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International Conference on Information Technology and Communication Systems (ITCS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 640))

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Abstract

Web services nowadays are much more available with several implementations and purposes in the Cloud. These Web services could do the same tasks but may differ in quality of service. Furthermore, some of these Web services are not always relevant to use in some contexts. Providers are likely interested to offer more complex Web services through combining raw Web services from the Cloud to improve services and benefits. Therefore, a significant research problem is how to select the best candidate service from a collection of services and to take into account the respect of service level agreement made by the customer and the provider. On the other hand, ensuring the relevance of the Web services for users is very important. In our paper, we propose a composition model architecture based on Cloud SaaS that takes not only the QoS of service, but also Cloud computing and context-awareness aspect of the composition into consideration. Tests and simulations are made to prove the solution effectiveness.

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Authors and Affiliations

  1. Models and Systems Engineering Team, SIME Laboratory ENSIAS, Mohammed V University, Rabat, Morocco

    Ali Bentaleb & Ahmed Ettalbi

Authors
  1. Ali Bentaleb
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  2. Ahmed Ettalbi
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Corresponding authors

Correspondence to Ali Bentaleb or Ahmed Ettalbi .

Editor information

Editors and Affiliations

  1. ENSA, Khouribga, Morocco

    Gherabi Noreddine

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Bentaleb, A., Ettalbi, A. (2018). Context-Aware for Service Composition Optimization in Cloud Computing. In: Noreddine, G., Kacprzyk, J. (eds) International Conference on Information Technology and Communication Systems. ITCS 2017. Advances in Intelligent Systems and Computing, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-319-64719-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-64719-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64718-0

  • Online ISBN: 978-3-319-64719-7

  • eBook Packages: EngineeringEngineering (R0)

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